Sentence Similarity
sentence-transformers
Safetensors
Chinese
bert
structural-isomorphism
cross-domain
analogy
text-embeddings-inference
Instructions to use qinghuiwan/structural-isomorphism-v2-expanded with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use qinghuiwan/structural-isomorphism-v2-expanded with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("qinghuiwan/structural-isomorphism-v2-expanded") sentences = [ "那是 個快樂的人", "那是 條快樂的狗", "那是 個非常幸福的人", "今天是晴天" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ebc3d706e11379950a38fff9ea17d1b3d4df30c7dee5d9d100556f30118e3a2a
- Size of remote file:
- 409 MB
- SHA256:
- ebc00f104b5168c391c1f443b82985359eb3f6ed8ad9fc0acf62043beb2270b3
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